Working with large amounts of secondary or primary qualitative data: Breadth-and-Depth Method (join a waiting list)
Date:
01/12/2020 - 03/12/2020
Organised by:
University of Leeds
Presenter:
Dr Emma Davidson, Dr Susie Weller, Prof Lynn Jamieson and Prof Ros Edwards
Level:
Intermediate (some prior knowledge)
Contact:
Sarah McLaughlin
s.mclaughin1@leeds.ac.uk
Venue: Online
Description:
This exciting and flexible online course will develop your knowledge and skills for working with qualitative data at scale: ‘big qual’. It provides the methodological foundations for identifying, merging and analysing multiple sets of data from different sources, and working with large amounts of secondary or primary qualitative data. Big qual data enables qualitative researchers to scope out new research questions that allow comparison and claims to generalisability while still retaining the distinctive order of knowledge about social processes that is the hallmark of rigorous qualitative research, with its integrity of attention to nuanced context and detail.
You will gain guided experience of the unique four-step Breadth and Depth Method to enable you to combine extensive coverage with intensive illumination, moving between the span of big qual analysis and the qualitative integrity of detailed context. In your 7 hours or so of study across the three days, using a range of resources, including informative short videos and guided hands-on activities, the course will cover:
- An introduction to the course, outlining its content and format
- The potential gains of working with large amounts of qualitative data
- An introduction to the Timescapes Archive, giving you a feel for accessing, searching, obtaining and organising large amounts of data
- Working through the Breadth-and-Depth Method of working:
- Step 1: Creating breadth - identifying and exploring datasets using contextual meta data
- Step 2: Investigating breadth – preliminary explorations of the big qual data set using basic text analysis software
- Step 3: Moving from breadth to depth – identification of themes and hotspots in the data using analytic software, to identify case studies for deeper analysis
- Step 4: Exploring depth – undertaking in-depth analysis of cases, and then relating depth to back to breadth
- Closing the course: discussion and reflections on the method and learning process
The course is suitable for early career as well as more experienced researchers. You will need to be familiar with the purpose of qualitative research and qualitative methods of data collection and analysis.
- The course is tailored so that you can dip-in-and-out of resources and activities, self-directing your study to fit in with your work and life commitments.
- The course is guided by expert tutors in a way that allows you to tailor your 7 hours or so of participation across a 3-day period to fit in with your work and life commitments.
- You will be able to access online guidance from the course tutors as you work your way through sets of resources and activities.
- You will be introduced to the course by the tutors who will be available online for question and answer chat sessions in scheduled ‘office hours’ every morning and afternoon, culminating in a live online discussion session on the afternoon of the third day.
- Informative ‘bite-size’ videos, annotated reading lists, and step-by-step activity explanations will provide you with knowledge foundations and hand-on experience, enabling you to work through the course in a flexible way, checking in to the chat facility to post any questions and receive answers.
- Course participants will also be able to access peer support through scheduled open classroom sessions, where you can meet and chat with each other.
The course will be delivered by the ESRC National Centre for Research Methods team who developed the Breadth and Depth Method approach to analysing big qual:
- Dr. Emma Davidson, University of Edinburgh
- Professor Lynn Jamieson, University of Edinburgh
- Dr. Susie Weller, University of Southampton
- Professor Rosalind Edwards, University of Southampton
Cost:
The fee per teaching day is:
1. £30 - For UK registered postgraduate students
2. £60 – For staff at UK/EU academic institutions, UK/EU public sector staff, staff at UK/EU registered charity organisations and recognised UK/EU research institutions
3. £100 - For all other participants
All fees include event materials.
In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date.
If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of the cancellation of a course, including but not limited to any travel or accommodation costs.
The University of Southampton’s Online Store T&Cs also continue to apply.
Website and registration:
Region:
Yorkshire and Humberside
Keywords:
Case Study, Secondary Analysis, Analysis of Composite Data, Corpus Analysis, Thematic Analysis, Qualitative Approaches (other), Qualitative Software
Related publications and presentations:
Case Study
Secondary Analysis
Analysis of Composite Data
Corpus Analysis
Thematic Analysis
Qualitative Approaches (other)
Qualitative Software